Analysis for fluid flow and thermal conduction through stretchable medium with Cattaneo-Christov theory and entropy minimization

Recent scientists and engineers have focused about thermal energy distribution in various thermodynamic frameworks. Such consideration has comprehensive applications in numerous disciplines such as renewable energy devices, polymer extrusion, HVAC, nanotechnology, infrared heaters, steam turbines, thermal management in vehicles, oil refineries etc. Here analysis of Cattaneo-Christov model for chemically reactive Oldroyd-B nanomaterial along with correct velocity slip boundary condition is discussed. Magnetic field through Lorentz force is considered in momentum equation. Energy expression composes features of heat generation and Buongiorno's model together with Cattaneo-Christov terms which manifests the phenomenon of heat transportation. Reaction of first order with characteristics of thermophoresis and Brownian diffusion is carried out in concentration equation. Significance of velocity slip is discussed. Influences of heat generation and Buongiorno's model are explored in entropy expression that quantify the randomness and molecular motion of the system. The system of nonlinear differential expressions is changed after the implication of transformations. Resulting expressions of non-linear ODEs are integrated by implementing ND-solve technique. Convergence of solutions is acquired using this approach. Graphical illustrations for concentration, entropy rate, flow and thermal field are described. Effects of influential variables on relevant quantities of interest like Sherwood number and thermal transport rate are examined. For fluid flow reverse impact of magnetic field variable is noticed. Enhancement in temperature and rate of entropy is observed for corresponding higher thermal relaxation time variable. Larger values of velocity slip variable lead to intensify the fluid flow. Solutal transport rate and concentration shows a significant reduction against solutal relaxation time variable.